Bibliographic record
Abstract
Progressive degeneration of dopaminergic neurons in the substantia nigra pars compacta is the primary cause for motor symptoms observed in Parkinson's disease (PD). Mutations in leucine-rich repeat kinase 2 (LRRK2) are the most commonly linked contributor to familial PD. LRRK2 is suggested to be involved in a wide variety of cellular processes, but deciphering its role in the pathogenesis of PD has been difficult. Modelling PD in rodents has been a persistent challenge for the field. However, the fruit fly has been exploited to recapitulate PD gene related dopaminergic cell loss. Using the GAL4-UAS system and established models of hLRRK2 induced eye degeneration in Drosophila, we conducted an unbiased suppressor/enhancer screen to uncover genetic modifiers of LRRK2. We have identified 36 candidate interactors that modify LRRK2 induced toxicity in the Drosophila eye. Importantly, we determined that a subset of these interactors also modified hLRRK2(I2020T) induced dopaminergic neuronal loss in the fly brain and uncovered 16 candidates that modify dopaminergic cell loss. Our results suggest LRRK2 may be involved in a wide variety of cellular processes and the results from this screen provide an important genetic resource for further evaluation of LRRK2 function.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".